Stereoscopic rendering is a prominent feature of virtual reality applications to generate depth cues and to provide depth perception in the virtual world. However, straight-forward stereo rendering methods usually are expensive since they render the scene from two eye-points which in general doubles the frame times. This is particularly problematic since virtual reality sets high requirements for real-time capabilities and image resolution. Hence, this paper presents a hybrid rendering system that combines classic rasteriza- tion and real-time ray-tracing to accelerate stereoscopic rendering. The system reprojects the pre-rendered left half of the stereo image pair into the right perspective using a forward grid warping technique and identifies resulting reprojection errors, which are then efficiently resolved by adaptive real-time ray-tracing. A final analysis shows that the system achieves a significant performance gain, has a neg- ligible quality impact, and is suitable even for higher rendering resolutions.
%0 Conference Paper
%1 wissmann2020accelerated
%A Wißmann, Niko
%A Mišiak, Martin
%A Fuhrmann, Arnulph
%A Latoschik, Marc Erich
%B Proceedings of the 27th IEEE Virtual Reality conference (IEEE VR '20)
%D 2020
%K myown
%T Accelerated Stereo Rendering with Hybrid Reprojection-Based Rasterization and Adaptive Ray-Tracing
%U https://conferences.computer.org/vr-tvcg/2020/pdfs/VR2020-2f8MzUJjtCXG6Ue9RYFSN2/560800a828/560800a828.pdf
%X Stereoscopic rendering is a prominent feature of virtual reality applications to generate depth cues and to provide depth perception in the virtual world. However, straight-forward stereo rendering methods usually are expensive since they render the scene from two eye-points which in general doubles the frame times. This is particularly problematic since virtual reality sets high requirements for real-time capabilities and image resolution. Hence, this paper presents a hybrid rendering system that combines classic rasteriza- tion and real-time ray-tracing to accelerate stereoscopic rendering. The system reprojects the pre-rendered left half of the stereo image pair into the right perspective using a forward grid warping technique and identifies resulting reprojection errors, which are then efficiently resolved by adaptive real-time ray-tracing. A final analysis shows that the system achieves a significant performance gain, has a neg- ligible quality impact, and is suitable even for higher rendering resolutions.
@inproceedings{wissmann2020accelerated,
abstract = {Stereoscopic rendering is a prominent feature of virtual reality applications to generate depth cues and to provide depth perception in the virtual world. However, straight-forward stereo rendering methods usually are expensive since they render the scene from two eye-points which in general doubles the frame times. This is particularly problematic since virtual reality sets high requirements for real-time capabilities and image resolution. Hence, this paper presents a hybrid rendering system that combines classic rasteriza- tion and real-time ray-tracing to accelerate stereoscopic rendering. The system reprojects the pre-rendered left half of the stereo image pair into the right perspective using a forward grid warping technique and identifies resulting reprojection errors, which are then efficiently resolved by adaptive real-time ray-tracing. A final analysis shows that the system achieves a significant performance gain, has a neg- ligible quality impact, and is suitable even for higher rendering resolutions.},
added-at = {2020-03-26T20:55:00.000+0100},
author = {Wißmann, Niko and Mišiak, Martin and Fuhrmann, Arnulph and Latoschik, Marc Erich},
biburl = {https://www.bibsonomy.org/bibtex/2564a3aaa0b3b52871b2b87ad99b1ba7a/hci-uwb},
booktitle = {Proceedings of the 27th IEEE Virtual Reality conference (IEEE VR '20)},
interhash = {e065dd37194cc02dff897c27af145b60},
intrahash = {564a3aaa0b3b52871b2b87ad99b1ba7a},
keywords = {myown},
note = {Best paper award 🏆},
timestamp = {2024-05-06T17:22:37.000+0200},
title = {Accelerated Stereo Rendering with Hybrid Reprojection-Based Rasterization and Adaptive Ray-Tracing},
url = {https://conferences.computer.org/vr-tvcg/2020/pdfs/VR2020-2f8MzUJjtCXG6Ue9RYFSN2/560800a828/560800a828.pdf},
year = 2020
}